First commit 🤗

README.md

@@ -2,6 +2,7 @@
 license: apache-2.0
 base_model: distilroberta-base
 tags:
+- text-classification
 - generated_from_trainer
 datasets:
 - glue
@@ -15,7 +16,7 @@ model-index:
       name: Text Classification
       type: text-classification
     dataset:
-      name: glue
+      name: datasetX
       type: glue
       config: mrpc
       split: validation
@@ -23,10 +24,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8406862745098039
+      value: 0.8382352941176471
     - name: F1
       type: f1
-      value: 0.8861646234676007
+      value: 0.8892617449664431
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,11 +35,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # distilroberta-base-mrpc-glue
 
-This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the glue dataset.
+This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the datasetX dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6595
-- Accuracy: 0.8407
-- F1: 0.8862
+- Loss: 0.4936
+- Accuracy: 0.8382
+- F1: 0.8893
 
 ## Model description
 

all_results.json

@@ -1,14 +1,14 @@
 {
     "epoch": 3.0,
-    "eval_accuracy": 0.8480392156862745,
-    "eval_f1": 0.8923611111111109,
-    "eval_loss": 0.3911654055118561,
-    "eval_runtime": 1.9438,
-    "eval_samples_per_second": 209.894,
-    "eval_steps_per_second": 26.237,
+    "eval_accuracy": 0.8382352941176471,
+    "eval_f1": 0.8892617449664431,
+    "eval_loss": 0.4935888350009918,
+    "eval_runtime": 1.7175,
+    "eval_samples_per_second": 237.55,
+    "eval_steps_per_second": 29.694,
     "total_flos": 205828464972624.0,
-    "train_loss": 0.36674039642622097,
-    "train_runtime": 135.4038,
-    "train_samples_per_second": 81.268,
-    "train_steps_per_second": 10.17
+    "train_loss": 0.389890976894049,
+    "train_runtime": 129.7996,
+    "train_samples_per_second": 84.777,
+    "train_steps_per_second": 10.609
 }

eval_results.json

@@ -1,9 +1,9 @@
 {
     "epoch": 3.0,
-    "eval_accuracy": 0.8480392156862745,
-    "eval_f1": 0.8923611111111109,
-    "eval_loss": 0.3911654055118561,
-    "eval_runtime": 1.9438,
-    "eval_samples_per_second": 209.894,
-    "eval_steps_per_second": 26.237
+    "eval_accuracy": 0.8382352941176471,
+    "eval_f1": 0.8892617449664431,
+    "eval_loss": 0.4935888350009918,
+    "eval_runtime": 1.7175,
+    "eval_samples_per_second": 237.55,
+    "eval_steps_per_second": 29.694
 }

runs/Dec20_23-39-02_d80aa9457aee/events.out.tfevents.1703115731.d80aa9457aee.211.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cf27e4f8f96a6e0a8e7b6f19d0ac770ee4f34b5d5fa921fd18d92533e1448dda
+size 457

train_results.json

@@ -1,8 +1,8 @@
 {
     "epoch": 3.0,
     "total_flos": 205828464972624.0,
-    "train_loss": 0.36674039642622097,
-    "train_runtime": 135.4038,
-    "train_samples_per_second": 81.268,
-    "train_steps_per_second": 10.17
+    "train_loss": 0.389890976894049,
+    "train_runtime": 129.7996,
+    "train_samples_per_second": 84.777,
+    "train_steps_per_second": 10.609
 }